{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "290731c910d040b7",
   "metadata": {},
   "source": [
    "## 1.导包\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2aaba100a7c57581",
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import warnings\n",
    "# %matplotlib inline 是一个 IPython 的魔法函数，用于在 Jupyter Notebook 中内嵌显示 Matplotlib 绘制的图表。\n",
    "# 使用这个命令后，可以省略 plt.show() 这一步，直接在 Notebook 中显示图像\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8737801c7acb5e2",
   "metadata": {},
   "source": [
    "## 2.读取数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "83cd5392d00e499e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T04:50:18.298839Z",
     "start_time": "2025-02-22T04:50:18.229740Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>week</th>\n",
       "      <th>temp_2</th>\n",
       "      <th>temp_1</th>\n",
       "      <th>average</th>\n",
       "      <th>actual</th>\n",
       "      <th>friend</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Fri</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45.6</td>\n",
       "      <td>45</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Sat</td>\n",
       "      <td>44</td>\n",
       "      <td>45</td>\n",
       "      <td>45.7</td>\n",
       "      <td>44</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Sun</td>\n",
       "      <td>45</td>\n",
       "      <td>44</td>\n",
       "      <td>45.8</td>\n",
       "      <td>41</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>Mon</td>\n",
       "      <td>44</td>\n",
       "      <td>41</td>\n",
       "      <td>45.9</td>\n",
       "      <td>40</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>Tues</td>\n",
       "      <td>41</td>\n",
       "      <td>40</td>\n",
       "      <td>46.0</td>\n",
       "      <td>44</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  month  day  week  temp_2  temp_1  average  actual  friend\n",
       "0  2016      1    1   Fri      45      45     45.6      45      29\n",
       "1  2016      1    2   Sat      44      45     45.7      44      61\n",
       "2  2016      1    3   Sun      45      44     45.8      41      56\n",
       "3  2016      1    4   Mon      44      41     45.9      40      53\n",
       "4  2016      1    5  Tues      41      40     46.0      44      41"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features = pd.read_csv('data/temps.csv')\n",
    "features.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "454a4e161645bfe9",
   "metadata": {},
   "source": [
    "- year,moth,day,week分别表示的具体的时间\n",
    "- temp 2: 前天的最高温度值\n",
    "- temp_1: 昨天的最高温度值\n",
    "- average: 在历史中，每年这一天的平均最高温度值。\n",
    "- actual:这就是我们的标签值了，当天的真实最高温度\n",
    "- friend: 这一死可能是凑热闹的。你的朋友猜测的可能值，咱们不管它就好了"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b518fc21c57c576d",
   "metadata": {},
   "source": [
    "## 3.日期处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b28cf125e9e6480a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T04:50:18.441349Z",
     "start_time": "2025-02-22T04:50:18.366039Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[datetime.datetime(2016, 1, 1, 0, 0),\n",
       " datetime.datetime(2016, 1, 2, 0, 0),\n",
       " datetime.datetime(2016, 1, 3, 0, 0),\n",
       " datetime.datetime(2016, 1, 4, 0, 0),\n",
       " datetime.datetime(2016, 1, 5, 0, 0)]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 处理时间为 yyyy-mm-dd\n",
    "import datetime\n",
    "year = features[\"year\"]\n",
    "month = features[\"month\"]\n",
    "day = features[\"day\"]\n",
    "dates = [str(int(year)) + \"-\" + str(int(month)) + \"-\" + str(int(day)) for year,month,day in zip(year,month,day)]\n",
    "# datetime.datetime.strptime: 将字符串解析成datetime对象。这个方法非常有用，因为它可以将不同格式的日期和时间字符串转换为datetime对象\n",
    "dates = [datetime.datetime.strptime(date, \"%Y-%m-%d\") for date in dates]\n",
    "dates[:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a22ff6bb8d91ece",
   "metadata": {},
   "source": [
    "## 4.画图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "9783fe3be01eb13b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T04:50:19.702279Z",
     "start_time": "2025-02-22T04:50:18.674774Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 画图\n",
    "# 指定默认风格\n",
    "plt.style.use('fivethirtyeight')\n",
    "\n",
    "# 设置布局\n",
    "fig, ((ax1,ax2), (ax3, ax4)) = plt.subplots(nrows=2, ncols=2, figsize=(10,10))\n",
    "fig.autofmt_xdate(rotation=45)\n",
    "\n",
    "# 标签值\n",
    "ax1.plot(dates, features[\"actual\"])\n",
    "ax1.set_xlabel('')\n",
    "ax1.set_ylabel('Temperature')\n",
    "ax1.set_title('Max Temperature')\n",
    "\n",
    "# 昨天\n",
    "ax2.plot(dates, features[\"temp_2\"])\n",
    "ax2.set_xlabel('')\n",
    "ax2.set_ylabel('Temperature')\n",
    "ax2.set_title('Two days Temperature')\n",
    "\n",
    "# 前天\n",
    "ax3.plot(dates, features[\"temp_1\"])\n",
    "ax3.set_xlabel('')\n",
    "ax3.set_ylabel('Temperature')\n",
    "ax3.set_title('previous Temperature')\n",
    "\n",
    "# 朋友\n",
    "ax4.plot(dates, features[\"friend\"])\n",
    "ax4.set_xlabel('')\n",
    "ax4.set_ylabel('Temperature')\n",
    "ax4.set_title('friend Temperature')\n",
    "\n",
    "plt.tight_layout(pad=3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76ddbf6bc37c2865",
   "metadata": {},
   "source": [
    "## 5.文字编码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "5e2e42fef86be6fd",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T04:50:19.739396Z",
     "start_time": "2025-02-22T04:50:19.722453Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>temp_2</th>\n",
       "      <th>temp_1</th>\n",
       "      <th>average</th>\n",
       "      <th>actual</th>\n",
       "      <th>friend</th>\n",
       "      <th>week_Fri</th>\n",
       "      <th>week_Mon</th>\n",
       "      <th>week_Sat</th>\n",
       "      <th>week_Sun</th>\n",
       "      <th>week_Thurs</th>\n",
       "      <th>week_Tues</th>\n",
       "      <th>week_Wed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45.6</td>\n",
       "      <td>45</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>44</td>\n",
       "      <td>45</td>\n",
       "      <td>45.7</td>\n",
       "      <td>44</td>\n",
       "      <td>61</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>45</td>\n",
       "      <td>44</td>\n",
       "      <td>45.8</td>\n",
       "      <td>41</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>44</td>\n",
       "      <td>41</td>\n",
       "      <td>45.9</td>\n",
       "      <td>40</td>\n",
       "      <td>53</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>41</td>\n",
       "      <td>40</td>\n",
       "      <td>46.0</td>\n",
       "      <td>44</td>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  month  day  temp_2  temp_1  average  actual  friend  week_Fri  \\\n",
       "0  2016      1    1      45      45     45.6      45      29         1   \n",
       "1  2016      1    2      44      45     45.7      44      61         0   \n",
       "2  2016      1    3      45      44     45.8      41      56         0   \n",
       "3  2016      1    4      44      41     45.9      40      53         0   \n",
       "4  2016      1    5      41      40     46.0      44      41         0   \n",
       "\n",
       "   week_Mon  week_Sat  week_Sun  week_Thurs  week_Tues  week_Wed  \n",
       "0         0         0         0           0          0         0  \n",
       "1         0         1         0           0          0         0  \n",
       "2         0         0         1           0          0         0  \n",
       "3         1         0         0           0          0         0  \n",
       "4         0         0         0           0          1         0  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 独热编码\n",
    "features = pd.get_dummies(features,dtype=int)\n",
    "features.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d196ee02ac2aa966",
   "metadata": {},
   "source": [
    "## 6.特征值和目标值提取"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "9fa9d38026d47702",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T04:50:19.819509Z",
     "start_time": "2025-02-22T04:50:19.806555Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(348, 14)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 标签\n",
    "labels = np.array(features[\"actual\"])\n",
    "# 去掉标签\n",
    "# drop(labels, axios)\n",
    "# labels:待删除的行名or列名； \n",
    "# axis:删除时所参考的轴，0为行，1为列\n",
    "features = features.drop('actual', axis=1)\n",
    "\n",
    "# 单独保存一份\n",
    "feature_list = list(features)\n",
    "# 转换为numpty格式\n",
    "features = np.array(features)\n",
    "# 384 个样本，14个特征\n",
    "features.shape\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a583e5a6a520e69",
   "metadata": {},
   "source": [
    "## 7.数据标准化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bdc78e86efd5a5e0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 数据标准化：数据大小不一\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "scaler = StandardScaler()\n",
    "features = scaler.fit_transform(features)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57c8f2f79dd332bc",
   "metadata": {},
   "source": [
    "## 8.构建网络"
   ]
  },
  {
   "cell_type": "code",
   "id": "680779b7dc79a352",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T05:19:03.114848Z",
     "start_time": "2025-02-22T05:18:54.031249Z"
    }
   },
   "source": [
    "x = torch.tensor(features)\n",
    "y = torch.tensor(labels)\n",
    "# 权重初始化\n",
    "weights = torch.randn((14,128), dtype=torch.double, requires_grad=True) # 将14个输入特征转换为128个隐藏特征\n",
    "bias = torch.randn(128, dtype=torch.double, requires_grad=True)\n",
    "weights2 = torch.randn((128,1), dtype=torch.double, requires_grad=True) # 将128个输入特征转换为1个隐藏特征\n",
    "bias2 = torch.randn(1, dtype=torch.double, requires_grad=True)\n",
    "\n",
    "learning_rate = 0.001\n",
    "losses = []\n",
    "\n",
    "for epoch in range(10000):\n",
    "    # 计算隐层\n",
    "    hidden = x.mm(weights) + bias\n",
    "    # 加入激活函数\n",
    "    hidden = torch.relu(hidden)\n",
    "    # 预测结果\n",
    "    predicted = hidden.mm(weights2) + bias2\n",
    "    # 计算损失\n",
    "    loss = torch.mean((predicted - y) ** 2)\n",
    "    losses.append(loss.data.numpy())\n",
    "    # 打印损失值\n",
    "    if epoch % 100 == 0:\n",
    "        print(\"loss: {}\".format(loss))\n",
    "    # 反向传播计算\n",
    "    loss.backward()\n",
    "    # 更新参数\n",
    "    # Torch里面所有带 “下划线 ” 的操作，都是in-place的。torch.add()：对两个张量进行相加，但格式需相同\n",
    "    weights.data.add_(- learning_rate * weights.grad.data) \n",
    "    bias.data.add_(- learning_rate * bias.grad.data)\n",
    "    weights2.data.add_(- learning_rate * weights2.grad.data)\n",
    "    bias2.data.add_(- learning_rate * bias2.grad.data)\n",
    "    # 每次迭代记得清空\n",
    "    weights.grad.data.zero_()\n",
    "    bias.grad.data.zero_()\n",
    "    weights2.grad.data.zero_()\n",
    "    bias2.grad.data.zero_()"
   ],
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loss: 485204.6351065921\n",
      "loss: 2.8054233869217034e+17\n",
      "loss: 1.8797784676247155e+17\n",
      "loss: 1.2595485957015522e+17\n",
      "loss: 8.439625691310357e+16\n",
      "loss: 5.6549848138056936e+16\n",
      "loss: 3.78913170015339e+16\n",
      "loss: 2.5389138103529264e+16\n",
      "loss: 1.701203295768229e+16\n",
      "loss: 1.1398940136256098e+16\n",
      "loss: 7637878233199279.0\n",
      "loss: 5117772635688208.0\n",
      "loss: 3429171813286203.5\n",
      "loss: 2297722107276724.0\n",
      "loss: 1539592405901887.5\n",
      "loss: 1031606376073102.5\n",
      "loss: 691229517030055.8\n",
      "loss: 463159453349250.3\n",
      "loss: 310340739134638.56\n",
      "loss: 207944313065799.1\n",
      "loss: 139333422537387.62\n",
      "loss: 93360584618836.12\n",
      "loss: 62556410383403.516\n",
      "loss: 41916023727090.71\n",
      "loss: 28085899339855.746\n",
      "loss: 18819002175994.152\n",
      "loss: 12609702777006.256\n",
      "loss: 8449151694533.109\n",
      "loss: 5661367727683.321\n",
      "loss: 3793408581943.206\n",
      "loss: 2541779541943.7188\n",
      "loss: 1703123483890.9373\n",
      "loss: 1141180638821.669\n",
      "loss: 764649928654.5845\n",
      "loss: 512354918685.2794\n",
      "loss: 343304240117.3468\n",
      "loss: 230031560139.42984\n",
      "loss: 154133018127.81848\n",
      "loss: 103277077572.59042\n",
      "loss: 69200972535.40506\n",
      "loss: 46368223365.33948\n",
      "loss: 31069102937.8661\n",
      "loss: 20817902606.668304\n",
      "loss: 13949069281.999483\n",
      "loss: 9346596428.308996\n",
      "loss: 6262702065.509174\n",
      "loss: 4196333671.118173\n",
      "loss: 2811760193.8796525\n",
      "loss: 1884024501.1173925\n",
      "loss: 1262393703.0598595\n",
      "loss: 845868983.6722813\n",
      "loss: 566775923.2849401\n",
      "loss: 379769167.78937423\n",
      "loss: 254464989.48969594\n",
      "loss: 170504722.61190417\n",
      "loss: 114247010.30058166\n",
      "loss: 76551439.38118197\n",
      "loss: 51293461.25586968\n",
      "loss: 34369312.25324954\n",
      "loss: 23029258.902904525\n",
      "loss: 15430837.855632832\n",
      "loss: 10339503.57104902\n",
      "loss: 6928046.817584916\n",
      "loss: 4642194.714729493\n",
      "loss: 3110555.8244452276\n",
      "loss: 2084278.7143466515\n",
      "loss: 1396620.080582906\n",
      "loss: 935853.3033287635\n",
      "loss: 627115.780672849\n",
      "loss: 420245.70539583673\n",
      "loss: 281632.0776224094\n",
      "loss: 188753.79264677086\n",
      "loss: 126520.5479176427\n",
      "loss: 84821.06185874966\n",
      "loss: 56880.25393295051\n",
      "loss: 38158.470493130226\n",
      "loss: 25613.909287228635\n",
      "loss: 17208.40580758139\n",
      "loss: 11576.28463676486\n",
      "loss: 7802.472757492297\n",
      "loss: 5273.8240178427395\n",
      "loss: 3579.498849264445\n",
      "loss: 2444.2135358619503\n",
      "loss: 1683.5137795637593\n",
      "loss: 1173.8056802861884\n",
      "loss: 832.2749458300133\n",
      "loss: 603.4317260665883\n",
      "loss: 450.0949573711452\n",
      "loss: 347.3514080614213\n",
      "loss: 278.5079270452895\n",
      "loss: 232.37924149510098\n",
      "loss: 201.47064130259292\n",
      "loss: 180.76028386522572\n",
      "loss: 166.88327544323073\n",
      "loss: 157.5849635562198\n",
      "loss: 151.35461467129025\n",
      "loss: 147.17995934679354\n",
      "loss: 144.38272480981553\n",
      "loss: 142.5084332943102\n",
      "loss: 141.2525612397308\n"
     ]
    }
   ],
   "execution_count": 44
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "## 9.更简单的网络",
   "id": "8f9cc7b7bad168d6"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T05:39:04.491794Z",
     "start_time": "2025-02-22T05:38:40.018361Z"
    }
   },
   "cell_type": "code",
   "source": [
    "input_size = features.shape[1]\n",
    "hidden_size = 128\n",
    "output_size = 1\n",
    "batch_size = 16\n",
    "my_nn = nn.Sequential(\n",
    "    nn.Linear(input_size, hidden_size),\n",
    "    nn.ReLU(),\n",
    "    nn.Linear(hidden_size, output_size)\n",
    ")\n",
    "cost = nn.MSELoss(reduction='mean')\n",
    "# Adam 动态调整学习率\n",
    "optimizer = torch.optim.Adam(my_nn.parameters(), lr=learning_rate)\n",
    "# 训练网络\n",
    "losses = []\n",
    "for epoch in range(1000):\n",
    "    batch_losses = []\n",
    "    for start in range(0, len(features), batch_size):\n",
    "        # 计算 start, end\n",
    "        end = start + batch_size if start + batch_size < len(features) else len(features)\n",
    "        xx = torch.tensor(features[start:end], dtype=torch.float, requires_grad=True)\n",
    "        yy = torch.tensor(labels[start:end], dtype=torch.float, requires_grad=True)\n",
    "        # 训练\n",
    "        predicted = my_nn(xx)\n",
    "        # 计算损失\n",
    "        loss = cost(predicted, yy)\n",
    "        # 清空梯度\n",
    "        optimizer.zero_grad()\n",
    "        # 反向传播\n",
    "        loss.backward(retain_graph=True)\n",
    "        # 更新参数\n",
    "        optimizer.step()\n",
    "        batch_losses.append(loss.data.numpy())\n",
    "        if epoch % 99 == 0:\n",
    "            losses.append(np.mean(batch_losses))\n",
    "            print(\"epoch:{},loss: {}\".format(epoch, np.mean(batch_losses)))"
   ],
   "id": "adb42bfc4deab0fe",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch:0,loss: 171.4122314453125\n",
      "epoch:0,loss: 113.15877532958984\n",
      "epoch:0,loss: 115.04586791992188\n",
      "epoch:0,loss: 90.380126953125\n",
      "epoch:0,loss: 75.77936553955078\n",
      "epoch:0,loss: 108.3221206665039\n",
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      "epoch:0,loss: 122.09696960449219\n",
      "epoch:0,loss: 122.24485778808594\n",
      "epoch:0,loss: 123.30256652832031\n",
      "epoch:0,loss: 127.0757064819336\n",
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      "epoch:0,loss: 93.38251495361328\n",
      "epoch:0,loss: 92.28076934814453\n",
      "epoch:99,loss: 113.38714599609375\n",
      "epoch:99,loss: 119.03111267089844\n",
      "epoch:99,loss: 96.32958221435547\n",
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      "epoch:99,loss: 79.64936828613281\n",
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      "epoch:693,loss: 19.26665496826172\n",
      "epoch:693,loss: 19.742212295532227\n",
      "epoch:693,loss: 20.111080169677734\n",
      "epoch:693,loss: 19.65044593811035\n",
      "epoch:693,loss: 29.7216854095459\n",
      "epoch:693,loss: 41.85984420776367\n",
      "epoch:693,loss: 47.30406188964844\n",
      "epoch:693,loss: 48.43171691894531\n",
      "epoch:693,loss: 52.52306365966797\n",
      "epoch:693,loss: 51.19151306152344\n",
      "epoch:693,loss: 48.15283203125\n",
      "epoch:693,loss: 46.519901275634766\n",
      "epoch:693,loss: 45.25989532470703\n",
      "epoch:693,loss: 44.349937438964844\n",
      "epoch:693,loss: 43.189552307128906\n",
      "epoch:693,loss: 41.87892150878906\n",
      "epoch:693,loss: 40.13850402832031\n",
      "epoch:693,loss: 39.809913635253906\n",
      "epoch:693,loss: 38.455223083496094\n",
      "epoch:693,loss: 38.373905181884766\n",
      "epoch:693,loss: 38.026668548583984\n",
      "epoch:792,loss: 24.001110076904297\n",
      "epoch:792,loss: 19.338871002197266\n",
      "epoch:792,loss: 20.590559005737305\n",
      "epoch:792,loss: 22.026966094970703\n",
      "epoch:792,loss: 20.726099014282227\n",
      "epoch:792,loss: 33.38979721069336\n",
      "epoch:792,loss: 46.44763946533203\n",
      "epoch:792,loss: 52.793846130371094\n",
      "epoch:792,loss: 52.85657501220703\n",
      "epoch:792,loss: 57.3176383972168\n",
      "epoch:792,loss: 55.2488899230957\n",
      "epoch:792,loss: 51.56629943847656\n",
      "epoch:792,loss: 49.877140045166016\n",
      "epoch:792,loss: 48.402828216552734\n",
      "epoch:792,loss: 47.33237075805664\n",
      "epoch:792,loss: 46.19346618652344\n",
      "epoch:792,loss: 45.466487884521484\n",
      "epoch:792,loss: 44.13943099975586\n",
      "epoch:792,loss: 43.594512939453125\n",
      "epoch:792,loss: 42.530906677246094\n",
      "epoch:792,loss: 43.040992736816406\n",
      "epoch:792,loss: 42.59284973144531\n",
      "epoch:891,loss: 28.39447784423828\n",
      "epoch:891,loss: 23.73061752319336\n",
      "epoch:891,loss: 22.7557373046875\n",
      "epoch:891,loss: 22.511062622070312\n",
      "epoch:891,loss: 21.327747344970703\n",
      "epoch:891,loss: 32.61880111694336\n",
      "epoch:891,loss: 45.09048080444336\n",
      "epoch:891,loss: 50.83265686035156\n",
      "epoch:891,loss: 51.05944061279297\n",
      "epoch:891,loss: 55.6353759765625\n",
      "epoch:891,loss: 53.71944808959961\n",
      "epoch:891,loss: 50.1367073059082\n",
      "epoch:891,loss: 48.840293884277344\n",
      "epoch:891,loss: 47.55422592163086\n",
      "epoch:891,loss: 46.37549591064453\n",
      "epoch:891,loss: 44.938873291015625\n",
      "epoch:891,loss: 43.59946823120117\n",
      "epoch:891,loss: 41.89226531982422\n",
      "epoch:891,loss: 41.5201301574707\n",
      "epoch:891,loss: 40.08623123168945\n",
      "epoch:891,loss: 39.411224365234375\n",
      "epoch:891,loss: 39.01321029663086\n",
      "epoch:990,loss: 32.74907684326172\n",
      "epoch:990,loss: 25.121952056884766\n",
      "epoch:990,loss: 24.01129150390625\n",
      "epoch:990,loss: 25.14329719543457\n",
      "epoch:990,loss: 23.683629989624023\n",
      "epoch:990,loss: 38.570674896240234\n",
      "epoch:990,loss: 52.9932861328125\n",
      "epoch:990,loss: 60.129981994628906\n",
      "epoch:990,loss: 59.50006103515625\n",
      "epoch:990,loss: 64.2427978515625\n",
      "epoch:990,loss: 61.5828742980957\n",
      "epoch:990,loss: 57.3331298828125\n",
      "epoch:990,loss: 55.539772033691406\n",
      "epoch:990,loss: 53.710853576660156\n",
      "epoch:990,loss: 52.170082092285156\n",
      "epoch:990,loss: 50.6555061340332\n",
      "epoch:990,loss: 49.691795349121094\n",
      "epoch:990,loss: 48.17485046386719\n",
      "epoch:990,loss: 47.429542541503906\n",
      "epoch:990,loss: 46.048500061035156\n",
      "epoch:990,loss: 45.822959899902344\n",
      "epoch:990,loss: 45.182769775390625\n"
     ]
    }
   ],
   "execution_count": 50
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "## 10.预测数据",
   "id": "50107201ef279fa1"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T05:47:56.310386Z",
     "start_time": "2025-02-22T05:47:56.050988Z"
    }
   },
   "cell_type": "code",
   "source": [
    "x = torch.tensor(features, dtype=torch.float)\n",
    "predict = my_nn(x).data.numpy()\n",
    "# 转换日期函数\n",
    "dates = [str(int(year)) + \"-\" + str(int(month)) + \"-\" + str(int(day)) for year,month,day in zip(year,month,day)]\n",
    "# datetime.datetime.strptime: 将字符串解析成datetime对象。这个方法非常有用，因为它可以将不同格式的日期和时间字符串转换为datetime对象\n",
    "dates = [datetime.datetime.strptime(date, \"%Y-%m-%d\") for date in dates]\n",
    "# 创建一个表格存储日期和对应的标签数值\n",
    "true_data = pd.DataFrame(data={'actual':labels, \"date\": dates})\n",
    "# 同理，创建一个表格来存储日期和对应的模型预测值\n",
    "months = features[:,feature_list.index(\"month\")]\n",
    "days = features[:,feature_list.index(\"day\")]\n",
    "years = features[:,feature_list.index(\"year\")]\n",
    "\n",
    "test_dates = [str(int(year)) + \"-\" + str(int(month)) + \"-\" + str(int(day)) for year,month,day in zip(year,month,day)]\n",
    "test_dates = [datetime.datetime.strptime(date, \"%Y-%m-%d\") for date in test_dates]\n",
    "predicted_data = pd.DataFrame(data={\"date\": test_dates, \"predict\": predict.reshape(-1)})\n",
    "\n",
    "# 真实值\n",
    "plt.plot(true_data[\"date\"], true_data[\"actual\"], \"b-\", label=\"actual\")\n",
    "# 预测值\n",
    "plt.plot(predicted_data[\"date\"], predicted_data[\"predict\"], \"ro\", label=\"predict\")\n",
    "plt.xticks(rotation=60)\n",
    "plt.legend()\n",
    "\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Max Temperature(F)')\n",
    "plt.title(\"Actual and Predicted Temperature\")\n",
    "plt.show()\n",
    "\n"
   ],
   "id": "1fd36474f018386a",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 53
  },
  {
   "metadata": {},
   "cell_type": "code",
   "outputs": [],
   "execution_count": null,
   "source": "",
   "id": "b8ee1da27095e97c"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
